论文标题
MIMO网络中的节能竞争资源分配
Energy Efficient Competitive Resource Allocation in MIMO networks
论文作者
论文摘要
本文在用户最大化其能源效率时，考虑了多输入多输出（MIMO）干扰渠道中的竞争资源分配问题。考虑到每个发射器收集机对作为一个自私的玩家，就可以获得基础非合作游戏的NASH平衡的存在和独特性的条件。事实证明，分散的异步算法在相同条件下会趋向于这种平衡。考虑了两个框架以分析该游戏。一方面，游戏被改写为准差异不平等（QVI）。另一方面，根据收缩映射，对玩家的最佳反应进行了分析。对于此问题，收缩方法显示出比QVI的方法更紧密的结果。当专门为OFDM网络获得的结果时，所获得的条件似乎显着胜过最先进的作品，并导致更简单的分散算法。数值结果最终评估了不同设置中获得的条件。
This paper considers the competitive resource allocation problem in Multiple-Input Multiple-Output (MIMO) interfering channels, when users maximize their energy efficiency. Considering each transmitter-receiver pair as a selfish player, conditions on the existence and uniqueness of the Nash equilibrium of the underlying noncooperative game are obtained. A decentralized asynchronous algorithm is proven to converge towards this equilibrium under the same conditions. Two frameworks are considered for the analysis of this game. On the one hand, the game is rephrased as a Quasi-Variational Inequality (QVI). On the other hand, the best response of the players is analyzed in light of the contraction mappings. For this problem, the contraction approach is shown to lead to tighter results than the QVI one. When specializing the obtained results to OFDM networks, the obtained conditions appear to significantly outperform state-of-the-art works, and to lead to much simpler decentralized algorithms. Numerical results finally assess the obtained conditions in different settings.
